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About

ZW

Zack Witten

09/06/24

@ Anthropic

Prompt engineering is about getting the model to perform tasks effectively by clear communication and understanding the model's psychology.

Video

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AI prompt engineering: A deep dive

@ Anthropic

09/06/24

Related Takeaways

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Amanda Askell

09/06/24

@ Anthropic

A good prompt engineer must communicate clearly, iterate on prompts, and anticipate potential misinterpretations by the model.

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Anthropic Cast

09/06/24

@ Anthropic

A good prompt engineer should be able to step back from their own knowledge and communicate the necessary information clearly to the model.

ZW

Zack Witten

09/06/24

@ Anthropic

The engineering aspect of prompt engineering comes from the ability to experiment and iterate on prompts without interference, allowing for systematic improvements.

LQ

Lin Qiao

05/19/25

@ Sequoia Capital

Many app developers currently rely on off-the-shelf models, but infusing product knowledge into these models through prompt engineering is a new and necessary skill.

SS

Sander Schulhoff

06/19/25

@ Lenny's Podcast

Prompt engineering is crucial; bad prompts can lead to 0% accuracy, while good prompts can boost performance to 90%.

YC

Y Combinator Cast

05/30/25

@ Y Combinator

In prompt engineering, it's crucial to provide examples of desired outputs, as this helps the AI reason through complex tasks and improves the overall quality of its responses.

MB

Matt Biilmann

03/08/25

@ a16z

The skill of prompting AI models is crucial; those who understand how to communicate effectively with these models can create more sophisticated and creative outputs.

SS

Sander Schulhoff

06/19/25

@ Lenny's Podcast

People often claim prompt engineering is dead with each new model release, but it continues to be relevant and effective.

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Amanda Askell

09/06/24

@ Anthropic

As models improve, it's often more effective to communicate the specific task directly rather than using metaphors or role-based prompts.